M.S. ELECTRICAL ENGINEERING

Ziauddin University vision is to become a prestigious institution of higher education by seeking futuristic approach in imparting knowledge, skills and research/development. Keeping this in view, Ziauddin University, Faculty of Engineering Science and Technology (ZUFEST) initiated postgraduate program in the year 2017 with prior approval of HEC.

Electrical Engineering Department offers Master of Science (MS) in Electrical Engineering with specialization streams/tracks in the following domains:

  1. a) Control and Automation
  2. b) Computer & Communication Networks
  3. c) Telecommunication Systems

ELIGIBILITY CRITERIA FOR ADMISSION IN MS ENGINEERING

  • 16 Years of education in the relevant discipline, Minimum CGPA 2.50/4.00 or 60% marks
  • Passed NTS GAT (general) or the University GAT test.
  • An interview must be cleared.

MS COURSE WORK & THESIS REQUIREMENT

Each MS student has to select three core courses and five or seven elective courses from the specialization stream. A student can opt six credit hours research work/thesis instead of two courses from the specialization steam.

Minimum For the award of MS degree, candidates will need either to complete 30 credit hours of coursework or complete 24 credit hours of coursework along with a minimum of six credit hours for research work/thesis.

The thesis may be taken after completing 18CH (minimum).

DURATION OF MS AND SEMESTER-WISE BREAK-UP

Typical / Average duration for MS program is 1.5 years (4 years maximum). A generalize semester wise break-up is as follows:

Course Work Only OptionCoursework + Thesis Option
Number of semesters04 (Typical)04 (Typical)
Program Credit hours30 (Min)30 (Min)
No. of CoursesCore: 04Core: 04
Elective: 06Elective: 04
Coursework Credit Hrs.3024
Thesis C Hrs.6
Credits allowed per semester09 (max) in Spring/Fall

03 (max) in Summer

09 (max) in Spring/ Fall

03    max) in Summer

MS ELECTRICAL ENGINEERING CORE COURSES

EE 802Analysis of Stochastic Systems
EE 803Advance Simulation and Modeling
EE 812Advanced Digital Signal Processing

SPECIALIZATION COURSES: CONTROL AND AUTOMATION

EE 821Electronic System DesignEE 841Convex Optimization
EE 701 / 801Research MethodologyEE 811Linear System Theory
EE 822Advanced InstrumentationEE 842Multivariable Control Theory
EE 823Advanced Power ElectronicsEE 830Network and Embedded Control Systems
CS 801Neural and Fuzzy SystemsEE 843Non-Linear Control Systems
CS 811Machine VisionES 844Optimal Control Systems
EE 824RoboticsEE 845Predictive Control
EE 825Advanced Digital System DesignEE 834Process Control
EE 826Adaptive Control SystemsEE 840Selected Topics in Control and Automation
EE 850Adaptive Filter DesignEE 846Mobile Robotics
EE827PLCs and Control SystemsEE 828Advanced Classical Control Systems
EE 813Optimization TheoryCS 815Machine Learning
EE 820Smart Grid Architecture

SPECIALIZATION COURSES: TELECOMMUNICATION SYSTEMS

TS 801Advanced Communication NetworksCS 812QoS Architecture for Multimedia Wireless Networks
EE 701 / 801Research MethodologyEE 811Linear System Theory
TS 802RF and Microwave EngineeringTS 810Telecommunication Traffic Engineering
CS 802Advanced Computer NetworksTS 804Wireless and Mobile Communication Systems
TS 805Optical Communication SystemsTS 821Next Generation Networks
CS 803Information Theory and CodingTS 811Wireless Multiple Access Communication
CS 804Internet ProtocolsCS 822Wireless Sensor Networks
TS 803Advanced Digital CommunicationTS 806Satellite, Fixed and Mobile Radio Systems
CS 810Computer and Network SecurityTS 814Electromagnetic Compatibility and Interface
EE 831Error Control CodingTS 807Digital Design for Communication Systems
CS 823High-Speed Broadband NetworksTS 851Selected Topics in Communication Systems
CS 824Internetworking Architectures, Protocols and Applications 

 

CS 832GIS and Remote Sensing
CS 825IP Telephony and Voice over IPTS 808Queuing Theory
CS 826Multilayer Switching ArchitectureTS 809Radar Systems
CS 830Network ManagementEE 850Adaptive Filter Design
CS 831Network Performance AnalysisEE 811Linear System Theory
CS 815Machine LearningEE 820Smart Grid Architecture

SPECIALIZATION COURSES: COMPUTER AND COMMUNICATION NETWORKS

CS 802Advanced Computer NetworksCS 831Network Performance Analysis
EE 701 / 801Research MethodologyEE 811Linear System Theory
CS 803Information Theory and CodingTS 821Next Generation Networks
CS 804Internet ProtocolsTS 805Optical Communication Systems
CS 816Advanced Computer ArchitectureCS 812QoS Architecture for Multimedia Wireless Networks
CS 813Internet ProgrammingTS 810Telecommunication Traffic Engineering
TS 802RF and Microwave EngineeringTS 804Wireless and Mobile Communication Systems
CS 801Neural and Fuzzy SystemsTS 811Wireless Multiple Access Communication
TS 801Advanced Communication NetworksCS 822Wireless Sensor Networks
TS 803Advanced Digital CommunicationCS 841Multimedia Networking
CS 810Computer and Network SecurityCS 852Selected Topics in Computer and Communication Networks
EE831Error Control CodingCS 853Web Services and Service Oriented Architecture
CS 823High-Speed Broadband NetworksCS 854Cloud Computing
CS 824Internetworking Architectures, Protocols and Applications 

 

CS 855Cryptography
CS 825IP Telephony and Voice over IPCS 856Ubiquitous Computing
CS 826Multilayer Switching ArchitectureCS 857Graphics Programming
CS 830Network ManagementEE 850Adaptive Filter Design
CS 851Advanced Artificial IntelligenceEE 811Linear System Theory
EE 820Smart Grid ArchitectureCS 815Machine Learning

FEE STRUCTURE

MS (Non Thesis)MS (with Thesis)Ph.D
Admission Fee15,00015,00020,000
Enrollment Fee5,000/semester5,000/semester5,000/semester
Security Deposit (Refundable)5,0005,0005,000
Supervision Fee20,00035,000/year*
Dissertion/ Thesis Evaluation Fee20,00070,000
GEC Evaluation Fee10,00015000/year*
Viva Voce Exam Fee10,00020,000
Comprehensive Examination Fee5,000
Examination fee/ semester9,0009,0009,000
Tuition Fee (per course)15,00015,00015,000

Note: Any additional taxes imposed by the government will be the liability of the students/parents/guardian.

The University reserves the right to increase the fees if required according to the recommendation of the Governing Body.

At the time of admission, selected candidates will be required to deposit fee either under Option 1 or Option 2. Therfore monthly or semester fee will be deposited by students within two weeks of commencement of every semester in advance accoring to the official notification on the notice board. 2% surcharge per month will be levied on outstanding fees after the due date.

The students claiming exemptions from any course or courses will be required to pay exemption fee @ Rs. 2,500/- per subject in the beginning of semester.

Fees once deposited are not refundable, except security deposits, for any reason whatsoever.